This article provides a spatial analytical framework for using Geographic Information Systems (GIS) technology in housing and mortgage market research. It discusses the nature of neighborhood effects and their influence in residential market behavior and outcomes. It then discusses how GIS can aid with empirical research investigations. GIS, coupled with spatial analytical tools, offers an idea...

introduction one of the critical issues associated with sustainability in the twenty-first century is how cities are growing and developing in the space. rapid urban growth and physical development of cities cause disintegration of the spatial organization of cities and consequently spatial inequality between urban spaces. this phenomenon can be considered as spatial segregation or fragmentatio...

Nowadays, Spatial and social inequalities are universal and expanding phenomenon. Identification and spatial analysis of social, economic and ecological inequalities in metropolises is one of the essential and basic proceeding for planning and achieving urban sustainable development. The present research method is descriptive-analytical and using 13 sub criteria based on three main criteria of ...

This chapter provides a synthesis of spatial data mining models for analyzing multivariate count responses. Geo-referenced multivariate count responses are common in regional science (e.g., registered vehicle counts by body type and firm/job counts by industry type), but are computationally difficult to model especially when sample size is large. This chapter synthesizes relevant research and o...

abstractprecipitation could be regarded as a complex and a very vital element in the earth atmosphere and its spatial-temporal changes can control iran's climate. in the current research, in order to model the spatial-temporal changes of annual precipitation, the data taking from 50 synoptic stations, have been analyzed during the years 1966-2005, with a suitable distribution. the most dat...